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Teaching Analytics: APEC List of Competencies – Decision-Making, Analytics & Intelligence > Philippines
Decision-Making, Analytics & Intelligence > Philippines
Teaching Analytics: APEC List of Competencies
Teaching Analytics: An Instructor’s Guide to implementing the recommendations of Project DARE
(Data Analytics Raising Employment).
APEC (Asia Pacific Economic Cooperation) hosted an event on May 4-5 bringing together over 50
analytics experts and visionaries from over 14 counties across the Asia-Pacific region to form an advisory
group.
The APEC Project DARE (Data Analytics Raising Awareness) Advisory Group started with an agenda
set to develop recommended “APEC Data Analytics Competencies.
There are still being finalized, but as of last week here is a high level of the competencies that we came
up with:
Business and Organizational Skills
1. Operational Analytics: Use data analytics and specialized business analytics (i.e. business
intelligence) techniques for the investigation of all relevant data to derive insight in support of
decision-making.
2. Data Visualization and Presentation: Ability to create and communicate compelling and actionable
insights from data using visualization and presentation tools and technologies.
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Teaching Analytics: APEC List of Competencies – Decision-Making, Analytics & Intelligence > Philippines
3. Data
ata Management and Governance: Develop and implement data management strategies and
governance, incorporating privacy, data security, polices and regulations, and ethical considerations.
4. Domain Knowledge and Application: Apply domain-related knowledge and insights to effectively
contextualize data, achieved by practical experience (e.g. apprenticeships) and exposure to emerging
innovations.
Technical Skills
5. Statistical Techniques: Apply statistical concepts and methodologies for data analysis.
6. Computing: Apply information technology, computational thinking and utilize programming
languages and software and hardware solutions design and development for data analysis.
7. Data Analytics Methods and Algorithms: Capture, clean and inspect data. Evaluate and implement
data analytics and machine learning methods and algorithms on the data to derive insights for
decision making.
8. Research Methods: Utilize the scientific and engineering methods to discover and create new
knowledge and insights.
9. Data Science Engineering Principles: Use software and system engineering principles and modern
computer technologies, incorporating a data feedback loop, to research, design, and prototype data
analytics applications. Develop structures, instruments, machines, experiments, processes, and
systems to support the data lifecycle.
Workplace Skills
10. 21st Century Skills: Exhibit crosscutting skills essential for DSA at all levels including, but not limited
too; collaboration, customer focus, communication and storytelling, organizational awareness, critical
thinking, planning and organizing, problem solving, decision making, business fundamentals,
awareness of social and societal awareness, intelligibility, cross cultural awareness, dynamic (self) reskilling, professional networking, ethical mindset and entrepreneurship.
Once this list is finalized I will update you all.
My end goal is two fold, (1) to help craft a version of the competencies into an academic discipline that
the Analytics Council can present to CHED for adoption and (2) to design a vocational education track
to address the basic skills needed for entry level DSA work here in the Philippines.
Stay Tuned!
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Teaching Analytics: APEC List of Competencies – Decision-Making, Analytics & Intelligence > Philippines
Analytics Training – DMAIPH offers a wide range of analytics centric training solutions for
professionals and students via public, in-house, on-site, and academic settings. We tailor each training
event to meet the unique needs of the audience. If you need empowerment and skills enhancement to
optimize the use of analytics in your organization, we are here to help. Contact DMAIPH now at
analytics@dmaiph.com or connect with me directly to set up a free consultation to learn which of our
DMAIPH analytics training solutions is best for you.
Posted on May 9, 2017May 9, 2017 by DMAIPHPosted in Analytics in the Philippines, Analytics
Leadership, Analytics Training, Business Strategy with Analytics, General AnalyticsTagged Analytics
Council, Analytics Council of the Philippines, Analytics in the Philippines, APEC, Dan Meyer, data
science philippines, DMAIPH, DSA, entry level analytics, Expat in the Philippines, Project DARE,
teaching analytics.
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